{"id":"W4380090652","doi":"10.5194/acp-23-6299-2023","title":"The (mis)identification of high-latitude dust events using remote sensing methods in the Yukon, Canada: a sub-daily variability analysis","year":2023,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; University of Sheffield","keywords":"AERONET; Environmental science; Mineral dust; Latitude; Remote sensing; Aerosol; Meteorology; Satellite; Plume; Atmospheric sciences; Climatology; Geology; Geography; Geodesy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004640852,0.0002991243,0.0002373808,0.001122172,0.0009044769,0.001118978,0.0005252363,0.0002829727,0.0005550301],"category_scores_gemma":[0.0009226064,0.0001769711,0.0002971409,0.002367163,0.0003777843,0.0002739686,0.0004369342,0.0002316263,0.0001185398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00839489,"about_ca_system_score_gemma":0.008881835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835849,"about_ca_topic_score_gemma":0.9900455,"domain_scores_codex":[0.9995939,0.00002760471,0.00003083689,0.0001076157,0.0001313625,0.0001087452],"domain_scores_gemma":[0.998516,0.0001023628,0.0001590185,0.00006043738,0.001040217,0.0001219428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007121496,0.00001525962,0.9845123,0.00004211579,0.0001004203,0.0001002941,0.0004682832,0.0007193491,0.002432188,0.00008840938,0.0006896633,0.01076058],"study_design_scores_gemma":[0.000001644819,0.000005291917,0.9973297,0.000006415102,0.00001527622,0.00002144036,0.0005888682,0.001148605,0.0002362788,0.000009018008,0.0006315239,0.000005889636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960111,0.0003825636,0.0004188087,0.00005630178,0.000006656662,0.0000159809,0.002067782,0.00002596957,0.001014736],"genre_scores_gemma":[0.9969796,0.0001431738,0.0004718323,0.0000274201,0.000001764368,0.000007403387,0.001567247,0.000008055569,0.0007935113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01641512,"threshold_uncertainty_score":0.06090939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056989899179087,"score_gpt":0.259404245716368,"score_spread":0.2488343467245771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}